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https://github.com/tushar2704/summarizeit

SummarizeIt is a powerful yet user-friendly Streamlit application designed to quickly generate concise summaries of text content. Whether you're dealing with lengthy articles, research papers, or any other form of textual data, SummarizeIt simplifies the process, providing a convenient way to distill information.
https://github.com/tushar2704/summarizeit

data-science nlp python streamlit streamlit-tushar2704 tushar2704 webapp

Last synced: 19 days ago
JSON representation

Host: GitHub
URL: https://github.com/tushar2704/summarizeit
Owner: tushar2704
Created: 2023-11-09T17:09:11.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2023-11-26T00:41:36.000Z (about 1 year ago)
Last Synced: 2024-05-11T05:53:47.168Z (8 months ago)
Topics: data-science, nlp, python, streamlit, streamlit-tushar2704, tushar2704, webapp
Language: Python
Homepage: https://tushar-aggarwal.com
Size: 13.7 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # SummarizeIt

![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)

![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=for-the-badge&logo=Streamlit&logoColor=white)

![CSS](https://img.shields.io/badge/CSS3-1572B6.svg?style=for-the-badge&logo=CSS3&logoColor=white)

![HTML](https://img.shields.io/badge/HTML5-E34F26.svg?style=for-the-badge&logo=HTML5&logoColor=white)

![Markdown](https://img.shields.io/badge/markdown-%23000000.svg?style=for-the-badge&logo=markdown&logoColor=white)

![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-0078d7.svg?style=for-the-badge&logo=visual-studio-code&logoColor=white)

## Deployment  [![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://summarizeit.streamlit.app/)

SummarizeIt is a powerful yet user-friendly Streamlit application designed to quickly generate concise summaries of text content. Whether you're dealing with lengthy articles, research papers, or any other form of textual data, SummarizeIt simplifies the process, providing a convenient way to distill information.

## Features

- **Web Content Summarization:** Extract information directly from a web address (URL).

  

- **Text Pasting:** Paste your own text for summarization.

- **Flexible Summarization Length:** Adjust the length of the summary to meet your needs.(upcoming)

## Usage

1. Enter a web address or paste text into the respective input field.

2. Adjust the summarization length using the intuitive slider.

3. Click the "Summarize" button to generate a summary.

4. Explore and analyze the summarized content effortlessly.

## Customization

Feel free to customize SummarizeIt to fit your specific requirements. You can modify the interface, add new features, or integrate additional natural language processing models.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.

## Acknowledgments

SummarizeIt leverages cutting-edge natural language processing techniques to deliver accurate and meaningful summaries.

Happy summarizing with SummarizeIt!

## Author  

- [©2023 Tushar Aggarwal. All rights reserved](https://www.tushar-aggarwal.com/)

- [LinkedIn](https://www.linkedin.com/in/tusharaggarwalinseec/)

- [Medium](https://medium.com/@tushar_aggarwal) 

- [Tushar-Aggarwal.com](https://www.tushar-aggarwal.com/)

- [X](https://twitter.com/TaggData) 

- [Data Unboxed Newsletter](https://tadata.substack.com/) 

- [HuggingFace](https://huggingface.co/tushar27) 

- [DagsHub](https://dagshub.com/tushar27) 

- [Hashnode](https://hashnode.com/@TAGG) 

- [NovyPro](https://www.novypro.com/profile_projects/tusharagg) 

- [New Kaggle](https://www.kaggle.com/tagg27)